AI Visual Analytics

Visual Data as Another Sensor Channel

Henri's sensory integration layer was built from the start to process different input sources in a normalized way — physical sensors, digital data streams, and equally, image and video data. AI Visual Analytics extends that layer specifically to camera, thermal, and other imaging sensors, so Henri's pattern recognition can be applied to visual data as well.

This area is being built together with pilot customers — the pilot program is open. It is not emerging as a standalone image-processing product, but as an extension of the same core architecture already delivering results in the industry deployment. If you don't want to wait for the program: the fixed-scope entry via AI Visual Quality Control is bookable today.

Planned Fields of Application

• Visual Anomaly Detection: Deviations in camera or thermal streams are to be classified using the same principle as sensor signals — fingerprinting, cross-cycle correlation, then classification.
• Multi-Sensor Fusion: Visual data is to be correlated with other sensor types (e.g., vibration, temperature) rather than viewed in isolation — consistent with the existing sensory integration approach.
• Air-Gapped Processing: Image processing runs entirely on local hardware, with no cloud connection or external data flow — the same rule as everywhere in the architecture.

Fast Entry Point

As a fixed-scope module with a set price and set timeline:

• Vision AI — entry through a bounded pilot

Frequently Asked Questions